Assessment of Image Quality of Coronary CT Angiography Using Deep Learning-Based CT Reconstruction: Phantom and Patient Studies.
Pil-Hyun JeonSang-Hyun JeonDonghee KoGiyong AnHackjoon ShimChuluunbaatar OtgonbaatarKihong SonDaehong KimSung Min KoMyung-Ae ChungPublished in: Diagnostics (Basel, Switzerland) (2023)
In both phantom and patient studies, DLR effectively reduced image noise and improved SNR and CNR. Therefore, the DLR may be useful for CCTA examinations.